BAdASS: Preserving Privacy in Behavioural Advertising with Applied Secret Sharing

Helsloot, Leon J.; Tillem, Gamze; Erkin, Zekeriya

doi:10.1007/978-3-030-01446-9_23

Cited by 9 publications

(11 citation statements)

References 11 publications

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“…We have already introduced the composition θ i • σ i as the valuation of the buyers. We further show that user valuation satisfies the conditions for an elastic demand function, with valuations based on (11) and (12). We first note that, in general (and so we omit the subscript/superscript notation), the valuation of data quantity x ≥ 0 is given by,…”

Section: Remarkmentioning

confidence: 73%

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An Equilibrium Analysis of a Secondary Mobile Data-Share Market

Blocher

Harris

2021

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Internet service providers are offering shared data plans where multiple users may buy and sell their overage data in a secondary market managed by the ISP. We propose a game-theoretic approach to a software-defined network for modeling this wireless data exchange market: a fully connected, non-cooperative network. We identify and define the rules for the underlying progressive second price (PSP) auction for the respective network and market structure. We allow for a single degree of statistical freedom—the reserve price—and show that the secondary data exchange market allows for greater flexibility in the acquisition decision making of mechanism design. We have designed a framework to optimize the strategy space using the elasticity of supply and demand. Wireless users are modeled as a distribution of buyers and sellers with normal incentives. Our derivation of a buyer-response strategy for wireless users based on second price market dynamics leads us to prove the existence of a balanced pricing scheme. We examine shifts in the market price function and prove that our network upholds the desired properties for optimization with respect to software-defined networks and prove the existence of a Nash equilibrium in the overlying non-cooperative game.

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Section: Remarkmentioning

confidence: 73%

“…Finally, we mention that the concern of privacy is addressed in [11]. This paper addresses the problem of privacy between the web user and the advertiser, which is beyond the scope of this paper.…”

Section: Related Workmentioning

confidence: 99%

An Equilibrium Analysis of a Secondary Mobile Data-Share Market

Blocher

Harris

2021

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“…A meaningful attempt of combining differential privacy and recommendation algorithm has been made in our research. However, there are still a lot of open issues that are worth to be investigated in both fields of differential privacy and recommendation algorithms [22]. What is more, the application of differential privacy in recommendation algorithms other than userbased collaborative filtering algorithm will be further studied in our future research.…”

Section: Discussionmentioning

confidence: 99%

A Movie Recommendation System Based on Differential Privacy Protection

Zeng²,

Guo

et al. 2020

Security and Communication Networks

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In the past decades, the ever-increasing popularity of the Internet has led to an explosive growth of information, which has consequently led to the emergence of recommendation systems. A series of cloud-based encryption measures have been adopted in the current recommendation systems to protect users’ privacy. However, there are still many other privacy attacks on the local devices. Therefore, this paper studies the encryption interference of applying a differential privacy protection scheme on the data in the user’s local devices under the assumption of an untrusted server. A dynamic privacy budget allocation method is proposed based on a localized differential privacy protection scheme while taking the specific application scene of movie recommendation into consideration. What is more, an improved user-based collaborative filtering algorithm, which adopts a matrix-based similarity calculation method instead of the traditional vector-based method when computing the user similarity, is proposed. Finally, it was proved by experimental results that the differential privacy-based movie recommendation system (DP-MRE) proposed in this paper could not only protect the privacy of users but also ensure the accuracy of recommendations.

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“…e scholars have consistently put the confidentiality, integrity, and availability of data security in the blockchain system [24] at the top of the list. However, most scholars focus on the study of data security confidentiality [25,26], ignoring that data integrity is more important in the business field.…”

Section: Blockchain Technology Blockchainmentioning

confidence: 99%

CL-BC: A Secure Data Storage Model for Social Networks

Wang

Zhu

et al. 2022

Security and Communication Networks

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While bringing convenience to people, social networks cause various security problems, such as information leakage, which belongs to the security category of data storage. The related research focuses more on the confidentiality design and lacks the discussion of data integrity protection technology. Thus, the electronic data editability invites the risk of data tampering and destruction, making other operations meaningless once the data are inaccurate. A social network-oriented data security storage model, CL-BC, included conceptual design, preliminary framework design, and detailed flow design, to improve the security threats such as overauthorization and illegal execution in data storage. The blockchain technology is combined with the improved Clark–Wilson model to achieve data integrity access control protection through execution rules and authentication rules. The system uses the subalgorithm of DR-BFT for reference when deploying the algorithm program and adopts the intelligent contract to complete the design rules. The experimental analysis shows the CL-BC model adapts to the actual security environment, ensures the data storage integrity in the social network stored process, and has application value.

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BAdASS: Preserving Privacy in Behavioural Advertising with Applied Secret Sharing

Cited by 9 publications

References 11 publications

An Equilibrium Analysis of a Secondary Mobile Data-Share Market

An Equilibrium Analysis of a Secondary Mobile Data-Share Market

A Movie Recommendation System Based on Differential Privacy Protection

CL-BC: A Secure Data Storage Model for Social Networks

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